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physics.ao-ph2026★ 1 cited
AIMIP Phase 1: systematic evaluations of AI weather and climate models
Brian Henn, Christopher S. Bretherton, Nikolay Koldunov +18
We present the AI weather and climate model intercomparison project (AIMIP), phase 1. Drawing from the rich tradition of intercomparisons in climate model development, we specify a…
physics.ao-ph2026
Exploring coupled tropical Pacific variability within a Multi-branch -Variational Autoencoder
Emily F. Wisinski, Maria J. Molina, Kyle J. C. Hall +4
This study explores what is encoded in the latent space of a multi-branch -variational autoencoder (-VAE) trained on coupled tropical Pacific climate fields. We assess the re…
physics.ao-ph2025
Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales
Kyle J. C. Hall, Maria J. Molina, Emily F. Wisinski +2
Global weather and climate patterns are strongly influenced by dominant modes of anomalous Pacific sea surface temperature (SST) variability, including the El Niño-Southern Oscilla…